super-droplet attribute "alpha" sampling (incl. new example based on Fig 1 from Matsushima et al. 2023)

[emmacware]

[emmacware]

• [ ] ConstantMultiplicity is only approximately constant currently
• [ ] tf tests have high tolerances for CM...
• [ ] The figure looks a little off, potentially it is the aerosol distribution and not the sampling?

[slayoo]

closing as it is now part of #1687

[slayoo]

@emmacware, reopened this PR to separate the alpha-sampling changes from the Hill & Shipway PR (#1687). Thus, removed any changes to the H&S example from this PR. The remaining notebook here is the Matsushima et al. fig 1. However, it looks pretty different from the paper - is it intentional? this PR: paper: It would be great to add a smoke test asserting on the features of this plot.

[slayoo]

@emmacware, please push here the fix removing the "wiggle" - let's try to merge it! Thanks

[codecov[bot]]

Codecov Report

:x: Patch coverage is 89.85507% with 7 lines in your changes missing coverage. Please review. :white_check_mark: Project coverage is 86.62%. Comparing base (a14c605) to head (a18c137). :warning: Report is 1 commits behind head on main.

Files with missing lines	Patch %	Lines
PySDM/initialisation/sampling/spectral_sampling.py	93.44%	4 Missing :warning:
PySDM/environments/kinematic_1d.py	0.00%	2 Missing :warning:
PySDM/environments/kinematic_2d.py	0.00%	1 Missing :warning:

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #1651      +/-   ##
==========================================
+ Coverage   86.55%   86.62%   +0.06%     
==========================================
  Files         413      413              
  Lines       10455    10471      +16     
==========================================
+ Hits         9049     9070      +21     
+ Misses       1406     1401       -5     

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[slayoo]

thank you @emmacware !